Associate Director, Product Management - Generative AI - Immunology
Johnson & Johnson Innovative Medicine, Titusville, NJ, United States
Job Description
Johnson & Johnson Innovative Medicine is seeking an Associate Director, Product Management to help drive the development, delivery, and lifecycle management of Generative AI‑enabled products across R&D. This role will support a growing portfolio of GenAI capabilities focused on augmenting critical scientific, clinical, and operational workflows by leading cross‑functional teams tasked with developing AI‑driven products for specific, critical functions defined in collaboration with Immunology. The position sits at the intersection of product strategy, data science, and R&D domain workflows. The role will work closely with data scientists, engineers, and R&D stakeholders within Immunology to translate complex scientific and operational needs into scalable, compliant, and impactful AI‑enabled products.
Key Responsibilities Product Strategy & Road Mapping
Help develop, and execute, product strategy and roadmaps for GenAI‑enabled tools supporting R&D workflows, including scientific knowledge retrieval, document authoring, decision support, and productivity acceleration.
Work with strategy leads to translate complex scientific, clinical, and operational workflows into clear product vision, requirements, and phased delivery plans.
Contribute to portfolio‑level prioritization and investment decisions to ensure resources are aligned with highest‑impact R&D use cases.
Stakeholder Engagement & Domain Partnership
Partner across R&D stakeholders in Data Science & Digital Health, Regulatory, Clinical Development, Translational Science, Discovery, and IT to understand unmet needs and translate them into appropriate, discrete solutions within the appropriate product.
Engage with Immunology stakeholders as a point of contact and accountability for products, and as a key source of domain input.
Represent product perspectives in senior R&D and Data Science & Digital Health leadership discussions, influencing direction without direct authority.
Product Development & Delivery
Lead product teams in end‑to‑end execution from concept through launch and continued iteration cycles.
Serve as product point of accountability, assessing and defining ROI, and balancing budget, timeline, and technical requirements throughout the development life cycle.
Ensure solutions meet expectations for usability, scalability, security, and compliance in regulated R&D environments.
Serve as a product leader, setting best practices, standards, and ways of working for GenAI product development in R&D.
AI Technology Enablement
Apply working knowledge of generative AI concepts (retrieval‑augmented generation, knowledge graphs, agentic workflows, evaluation strategies) at a strategic level to guide product design and tradeoffs.
Collaborate and coordinate with technical teams on data readiness, model integration, validation approaches, and iteration cycles.
Support responsible AI practices, including transparency, traceability, and risk mitigation.
Required Qualifications
Advanced degree (MS/PhD) or equivalent experience in life sciences, data science, computer science, biomedical engineering, or related field.
6–8+ years of experience in product management or digital product development.
Demonstrated experience working with data science, machine learning, or AI‑enabled products.
Strong ability to translate complex workflows and stakeholder needs into actionable product requirements and communicate technical development to non‑technical stakeholders.
Experience operating in matrixed, cross‑functional environments.
Preferred Qualifications
Experience supporting drug discovery, translational science, clinical development, regulatory, or other R&D workflows strongly preferred.
Familiarity with immunology, immune/autoimmune/inflammatory diseases, or related therapeutic areas strongly preferred.
Experience developing or scaling AI products in regulated or scientifically complex environments.
Exposure to cloud platforms, data platforms, or enterprise AI architectures.
Core Competencies
Product Leadership: Owns outcomes, balances competing priorities, and drives execution.
Technical Acumen: Understands AI/ML fundamentals and collaborates effectively with technical teams.
Scientific Curiosity: Engages meaningfully with scientific and clinical stakeholders without needing to be the domain expert.
Strategic Thinking: Connects individual product decisions to broader R&D and organizational goals.
Communication & Influence: Communicates clearly across disciplines and influences without authority; ability to work with and manage complex teams of varying expertise.
What We Offer
Opportunity to shape how Generative AI is applied across R&D to accelerate development of transformational medicines.
Exposure to cutting‑edge AI technologies applied to real scientific and clinical problems.
Collaboration with world‑class data scientists, engineers, clinicians, and product leaders.
Competitive compensation and strong professional development opportunities.
Location & Travel
This position will be located at one of our campuses in: Spring House, PA; Cambridge, MA; Titusville, NJ; or Raritan, NJ. No fully remote option is available. Occasional travel for cross‑functional workshops, design sessions, and team meetings may be required.
Benefits
Vacation – up to 120 hours per calendar year
Sick time – up to 40 hours per calendar year
Holiday pay, including floating holidays – up to 13 days per calendar year
Work, Personal and Family Time – up to 40 hours per calendar year
Equal Opportunity Employer
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
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Johnson & Johnson Innovative Medicine is seeking an Associate Director, Product Management to help drive the development, delivery, and lifecycle management of Generative AI‑enabled products across R&D. This role will support a growing portfolio of GenAI capabilities focused on augmenting critical scientific, clinical, and operational workflows by leading cross‑functional teams tasked with developing AI‑driven products for specific, critical functions defined in collaboration with Immunology. The position sits at the intersection of product strategy, data science, and R&D domain workflows. The role will work closely with data scientists, engineers, and R&D stakeholders within Immunology to translate complex scientific and operational needs into scalable, compliant, and impactful AI‑enabled products.
Key Responsibilities Product Strategy & Road Mapping
Help develop, and execute, product strategy and roadmaps for GenAI‑enabled tools supporting R&D workflows, including scientific knowledge retrieval, document authoring, decision support, and productivity acceleration.
Work with strategy leads to translate complex scientific, clinical, and operational workflows into clear product vision, requirements, and phased delivery plans.
Contribute to portfolio‑level prioritization and investment decisions to ensure resources are aligned with highest‑impact R&D use cases.
Stakeholder Engagement & Domain Partnership
Partner across R&D stakeholders in Data Science & Digital Health, Regulatory, Clinical Development, Translational Science, Discovery, and IT to understand unmet needs and translate them into appropriate, discrete solutions within the appropriate product.
Engage with Immunology stakeholders as a point of contact and accountability for products, and as a key source of domain input.
Represent product perspectives in senior R&D and Data Science & Digital Health leadership discussions, influencing direction without direct authority.
Product Development & Delivery
Lead product teams in end‑to‑end execution from concept through launch and continued iteration cycles.
Serve as product point of accountability, assessing and defining ROI, and balancing budget, timeline, and technical requirements throughout the development life cycle.
Ensure solutions meet expectations for usability, scalability, security, and compliance in regulated R&D environments.
Serve as a product leader, setting best practices, standards, and ways of working for GenAI product development in R&D.
AI Technology Enablement
Apply working knowledge of generative AI concepts (retrieval‑augmented generation, knowledge graphs, agentic workflows, evaluation strategies) at a strategic level to guide product design and tradeoffs.
Collaborate and coordinate with technical teams on data readiness, model integration, validation approaches, and iteration cycles.
Support responsible AI practices, including transparency, traceability, and risk mitigation.
Required Qualifications
Advanced degree (MS/PhD) or equivalent experience in life sciences, data science, computer science, biomedical engineering, or related field.
6–8+ years of experience in product management or digital product development.
Demonstrated experience working with data science, machine learning, or AI‑enabled products.
Strong ability to translate complex workflows and stakeholder needs into actionable product requirements and communicate technical development to non‑technical stakeholders.
Experience operating in matrixed, cross‑functional environments.
Preferred Qualifications
Experience supporting drug discovery, translational science, clinical development, regulatory, or other R&D workflows strongly preferred.
Familiarity with immunology, immune/autoimmune/inflammatory diseases, or related therapeutic areas strongly preferred.
Experience developing or scaling AI products in regulated or scientifically complex environments.
Exposure to cloud platforms, data platforms, or enterprise AI architectures.
Core Competencies
Product Leadership: Owns outcomes, balances competing priorities, and drives execution.
Technical Acumen: Understands AI/ML fundamentals and collaborates effectively with technical teams.
Scientific Curiosity: Engages meaningfully with scientific and clinical stakeholders without needing to be the domain expert.
Strategic Thinking: Connects individual product decisions to broader R&D and organizational goals.
Communication & Influence: Communicates clearly across disciplines and influences without authority; ability to work with and manage complex teams of varying expertise.
What We Offer
Opportunity to shape how Generative AI is applied across R&D to accelerate development of transformational medicines.
Exposure to cutting‑edge AI technologies applied to real scientific and clinical problems.
Collaboration with world‑class data scientists, engineers, clinicians, and product leaders.
Competitive compensation and strong professional development opportunities.
Location & Travel
This position will be located at one of our campuses in: Spring House, PA; Cambridge, MA; Titusville, NJ; or Raritan, NJ. No fully remote option is available. Occasional travel for cross‑functional workshops, design sessions, and team meetings may be required.
Benefits
Vacation – up to 120 hours per calendar year
Sick time – up to 40 hours per calendar year
Holiday pay, including floating holidays – up to 13 days per calendar year
Work, Personal and Family Time – up to 40 hours per calendar year
Equal Opportunity Employer
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
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